Evidence map›Paper›PMID 40835231›Full record

SynthesisEndocrine research2025

Blood metabolome of cardiovascular disease, diabetic kidney disease, and diabetic retinopathy in type 2 diabetes patients: A systematic review and meta-analysis.

Sydney Kuo, Danting Li, Matthieu Wargny, Tadashi Yoshida, Yilin Yoshida

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Endocrine research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sydney KuoTulane University School of Medicine.
Danting LiSection of Endocrinology and Metabolism, Tulane University School of Medicine, New Orleans, USA.
Matthieu WargnyNantes University Hospital, France.
Tadashi YoshidaDepartment of Cardiology, Tulane University School of Medicine, New Orleans, USA.
Yilin YoshidaSection of Endocrinology and Metabolism, Tulane University School of Medicine, New Orleans, USA.ORCID 0000-0003-0441-2697

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Sex-Based Precision Medicine Research CoreP20GM152305 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Marie Krousel-Wood, Mark Mondrinos · 2024 to 2026
$8.9M
NIGMS NIH HHS P20 GM152305NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

methodsMEDLINE (PubMed), Embase, Web of Science, and Cochrane Library were searched for relevant articles published before August 1, 2023. Studies assessing the association between circulating metabolites and CVD, including coronary heart disease, strokes, heart failure, CV death, DKD, and DR in T2D were eligible for review. We performed meta-analyses for metabolites with ≥2 estimates and reported adjusted odds ratios (ORs) of outcome per SD increase of metabolite.

resultsWe identified 74 total studies (

conclusionsIn this review, TMAO and amino acids are the most studied circulating metabolites for diabetic complications. TMAO was marginally associated with the CVD risk among people with T2D. However, the studies were subject to high heterogeneity and the findings are inconclusive. Our review indicates limited evidence linking circulating metabolites to the prediction of vascular complications in T2D. To strengthen the evidence in this field, large prospective studies are required.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Diabetic NephropathiesDiabetic RetinopathyMetabolomeHumansCardiovascular diseasecirculating metabolitesdiabetesdiabetic kidney diseasediabetic nephropathydiabetic retinopathymetabolomics

Identifiers

PMID40835231
PMCPMC12477947

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.